Data Just Right: Introduction To Largescale Data & Analytics (Addisonwesley Data And Analytics),Used

Data Just Right: Introduction To Largescale Data & Analytics (Addisonwesley Data And Analytics),Used

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Data Just Right: Introduction To Largescale Data & Analytics (Addisonwesley Data And Analytics)

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: How many pages does this book have? A: This book has two hundred fifty-six pages. It provides a comprehensive guide to large-scale data and analytics.
  • Q: What is the binding type of this book? A: The binding type is paperback. This makes it flexible and easy to carry.
  • Q: What are the dimensions of the book? A: The dimensions are six point nine inches in length, zero point eight inches in width, and nine point zero two inches in height. This size is convenient for reading and storage.
  • Q: Who is the author of this book? A: The author is Michael Manoochehri. He is a former Google engineer with extensive experience in data analytics.
  • Q: What is the primary focus of this book? A: The primary focus is on practical applications of big data analytics. It aims to help professionals implement effective solutions.
  • Q: What is the target audience for this book? A: The target audience includes Big Data decision-makers, implementers, and strategists. It is designed for professionals needing practical solutions.
  • Q: How can I apply the techniques from this book? A: You can apply the techniques by focusing on building applications rather than infrastructure. The book provides real-world use cases and examples.
  • Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners and professionals. It covers fundamental concepts and practical applications in data analytics.
  • Q: Can I use this book for self-study? A: Yes, this book is excellent for self-study. It provides detailed solutions and practical code examples.
  • Q: How do I keep this book in good condition? A: To keep this book in good condition, store it in a dry place away from direct sunlight. Avoid bending the spine to maintain its shape.
  • Q: What should I do if my book arrives damaged? A: If your book arrives damaged, contact the seller for a return or exchange. Most sellers offer a return policy for damaged goods.
  • Q: Is there a warranty for this book? A: No, there is no warranty for this book. However, it is covered under the seller's return policy.
  • Q: What if I have questions while reading the book? A: If you have questions while reading, consider joining online forums or discussion groups focused on data analytics. Engaging with others can provide additional insights.
  • Q: Is this book updated with the latest technologies? A: Yes, this book covers many of today's leading data analysis tools and technologies. It includes practical approaches using current methodologies.
  • Q: Can I find this book in my local library? A: Yes, many local libraries may carry this book. You can check their catalog or request it through interlibrary loan.
  • Q: What genres does this book belong to? A: This book belongs to the Data Mining genre. It focuses on large-scale data analysis and analytics.

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